Learn the difference between conceptual and logical data models, their benefits, and how to create them for your data engineering projects.

The conceptual model (Figure 1) described in this article represents many of the types of meta-data that can be recorded about artifacts. The model may not include absolutely everything that you need ...

On the surface, these variations might appear reasonably easy to resolve, but when we dig a little deeper we find that one person’s logical data modeling (for example) is not the same as another’s.

Conceptual Schema A conceptual data model or conceptual schema is a high-level description of information used in developing an information system, such as database structures.

The systems conceptual and data quality, development time and sustainable life cycle management, are issues for enterprise competitiveness. The ability to directly generate enterprise information ...

The Conceptual Model of a Food and Nutrition System A common understanding of the elements of a food and nutrition surveillance system for Canada is critical. To facilitate the dialogue among partners ...

In this study, a two-stage conceptual data modeling approach is proposed to reduce the level of complexity, to improve the understandability of database models and to improve the quality of the ...

This paper presents the design and usage of a language for Conceptual Data Modeling in Model-based Systems Engineering. Based on an existing analysis of presently employed data modeling languages, a ...

Just as the utilization of a seven-layer model (often refered to as TCP/IP) has been fundamental to the interoperability of the internet, it is anticipated that the four-layer ASAP model for Digital ...